Deep-Learning-In-Production
TensorFlow-Tutorials
Deep-Learning-In-Production | TensorFlow-Tutorials | |
---|---|---|
2 | 2 | |
1,073 | 9,250 | |
0.8% | - | |
0.0 | 0.0 | |
about 1 year ago | over 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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Deep-Learning-In-Production
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[P] Deep Learning in Production Book
The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)
- [D] Deep learning in Production
TensorFlow-Tutorials
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Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
What are some alternatives?
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
car-damage-detection - Detectron2 for car damage detection using custom dataset
ArtLine - A Deep Learning based project for creating line art portraits.
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
Practical_RL - A course in reinforcement learning in the wild
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0